Revert plot_priors change

CHANGELOG-unreleased.md

@@ -9,7 +9,7 @@ the released changes.
 
 ## Unreleased
 ### Changed
-- Updated the `plot_priors` function in `plot_utils.py` and `plot_chains` function in `event_optimize` so that the subplots are a fixed size to prevent the subplots from being condensed in the case of many fit parameters.
+- Updated the `plot_chains` function in `event_optimize` so that the subplots are a fixed size to prevent the subplots from being condensed in the case of many fit parameters.
 ### Added
 - Added an option `linearize_model` to speed up the photon phases calculation within `event_optimize` through the designmatrix.
 - Added AIC and BIC calculation to be written in the post fit parfile from `event_optimize`

src/pint/plot_utils.py

@@ -279,7 +279,7 @@ def plot_priors(
     for i in range(len(keys[:-1])):
         values[i] = values[i][burnin:].flatten()
         x_range.append(np.linspace(values[i].min(), values[i].max(), num=bins))
-        priors.append(getattr(model, keys[i]).prior.logpdf(x_range[i]))
+        priors.append(getattr(model, keys[i]).prior.pdf(x_range[i]))
         a, x = np.histogram(values[i], bins=bins, density=True)
         counts.append(a)